Implement shanxi scraping
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shanxi/scrape-articles.py
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shanxi/scrape-articles.py
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"""Script to scrape article text from http://sxwjw.shaanxi.gov.cn.
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Article contents are in a div with the class `message-box`.
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"""
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from utils.linkutils import read_links
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from utils.scrapeutils import download_link_texts
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def main():
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"""Collect and output article text."""
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with open("articles-shanxi/links.csv", "r") as f:
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links = read_links(f)
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download_link_texts(links, "message-box", "articles-shanxi")
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if __name__ == "__main__":
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main()
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shanxi/scrape-links.py
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shanxi/scrape-links.py
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r"""Script to scrape article links from http://sxwjw.shaanxi.gov.cn.
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Links are available from pages
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http://sxwjw.shaanxi.gov.cn/zfxxgk/fdzdgknr/zcwj/xzgfxwj/index(\d+_)?.html.
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The page structure is almost exactly like that of ningxia. Only
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difference is the class name of the content div.
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Something like div.con-rt li > a
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"""
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from typing import List
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import requests
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from bs4 import BeautifulSoup
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from utils.linkutils import Link, absolutize_link, dump_links
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PAGE_START = 2
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PAGE_END = 20
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PAGE_BASE = "http://sxwjw.shaanxi.gov.cn/zfxxgk/fdzdgknr/zcwj/xzgfxwj/"
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def main():
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"""Collect and output article links."""
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links = [
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link
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for page in range(PAGE_START - 1, PAGE_END)
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for link in get_article_links(page)
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]
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with open("articles-shanxi/links.csv", "w+") as f:
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dump_links(links, f)
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def get_article_links(page: int) -> List[Link]:
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"""Get all links from a specific page."""
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page_link = f"{PAGE_BASE}/index_{page}.html"
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soup = BeautifulSoup(requests.get(page_link).text, "html.parser")
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link_nodes = soup.select("div.con-rt li > a")
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date_nodes = soup.select("div.con-rt li > span")
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return [
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Link(absolutize_link(link.get("href"), PAGE_BASE), date.get_text())
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for link, date in zip(link_nodes, date_nodes)
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]
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if __name__ == "__main__":
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main()
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